din0s.me
🧠 neural IR 📋 model evals 🏋️ lifting weights Incredibly optimistic about the future! 𝕏: din0s_ / din0s.me
👤 Joined on 18 November 2024
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@d1nos.bsky.social@d1nos.bsky.social → @din0s.meEvery time I ask an LLM to write something, I don't even consider sending it to someone else before throughly re-writing it. I have an almost primordial disgust feeling when I read a LLM-written text, even if everything is correct, the style makes me physically uncomfortable while reading.
Show PostLLM Evals become the engine for self-improving systems that outperform hand-written prompts and multi-agent systems. @abcamara.com talks Friday at @irlab-amsterdam.bsky.social's SEA on how Deep Research agents evolve without human intervention. www.meetup.com/sea-search-e...
Show PostZeta Alpha launches custom AI agents built for knowledge-intensive enterprise teams. Easily create, share, schedule and manage your own AI agents that get real work done.
Show PostRAG in production is no longer "retrieve a few documents, paste into a prompt, and hope the answer is correct". The modern pattern is Agentic RAG: plan-execute loops, search across enterprise sources and the web, shared memory, tool use, and verification. ✍️ Read more: zeta-alpha.com/post/agentic...
Show PostDeepMind just dropped the technical report behind their SOTA open-weights embedding model, packed with training details, including ablations on modeling choices like encoder-decoder initialization, mean pooling, and model souping. Let's take a look! 📚
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